Knowledge & Data · Data artifact
HNSW Index Configuration
Data artifactKnowledge & DataKnowledge & Dataarc:HNSWIndexConfig
A vector index configuration building a hierarchical navigable small-world graph for millisecond approximate search at very large scale.
Responsibility. Configures graph-based approximate vector search.
Also known as: HNSW index
Variant of Vector Index Build Configuration abstract
When to choose. Choose for large collections (beyond ~10 million vectors) where search latency outweighs higher memory usage.
Relationships
alternative to variability
Quantitative guidance
As stated by the sources; verify before use.
- Enables millisecond search on billion-scale collections but consumes 3-5x more memory (Ch6.3B).
Sources
- Ch6.3A: T. Nguyen, "ETL Pipeline Fundamentals," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.3A. ISBN: 9798244538229.
- Ch6.3B: T. Nguyen, "ETL Worked Example - Load Phase & Pipeline Integration," in Mastering Agentic AI Systems: Guide for the NVIDIA NCP-AAI Exam, 1st ed. 2026, ch. 6.3B. ISBN: 9798244538229.